标题: Application of fuzzy sets theory in process data filtering
作者: Chiang, HH
Wu, SJ
Lee, TT
电控工程研究所
Institute of Electrical and Control Engineering
关键字: fuzzy sets theory;filtering;Kalman filter;Takagi-Sugeno (T-S) fuzzy model
公开日期: 2003
摘要: introduced and applied to the problems of signal restoration. A fuzzy approach for system identification and state estimation is developed. The estimated values obtained from the fuzzy model are in the form of fuzzy numbers which present the possibility of the system structure. Both L-R and symmetric triangular type membership functions are employed to derive the fuzzy-data based estimator (FBE). Illustrative examples with white and color noise are provided to demonstrate the applicability and effectiveness of the developed FBE. Comparisons between the FBE and various modified Kalman filter are also included.
URI: http://hdl.handle.net/11536/18634
ISBN: 0-7803-7810-5
期刊: PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2
起始页: 325
结束页: 330
显示于类别:Conferences Paper